AI for Environmental Monitoring

About this course

Use AI methods to examine environmental observations, improve sensor data quality and develop monitoring and forecasting workflows.

This advanced course is part of the AI & Generative AI school. Work through the curriculum below in a instructor-led / cohort format, with an estimated study time of 28 h.

Course curriculum

• Module 1 — Environmental Monitoring Data
• Module 2 — Data Quality and Automated QA/QC
• Module 3 — Calibrating Low-Cost Sensors
• Module 4 — Forecasting Air Quality
• Module 5 — Events, Sources and Interventions
• Module 6 — Mapping Pollution
• Module 7 — Monitoring Nature with AI
• Module 8 — Operations, Reporting and Governance

Applied learning

• Case study — Pennard Regional Council: from a sensor pilot to a trusted monitoring service
• Lab 1 — Can the sensors be trusted?
• Lab 2 — Did the Clean Air Zone work?
• Lab 3 — A heath warbler survey
• Capstone — An Environmental Monitoring Study

Who this course is for

Technology Professional; Data Professional; Engineer / Architect

Prerequisites

NE-AI-201

Course details

• Course code: NE-AI-309
• Level: Advanced
• Estimated duration: 28 h
• Delivery: Instructor-Led / Cohort